The Startup Toolkit

In my previous article I explained the importance of finding the problem-solution fit, and showed some parts of our go-to-market (GTM) approach. A multiple-case study with 12 founders of software startups located in The Netherlands, taught us that some aspects of the GTM approach are of significant value. We explain these industry lessons in this chapter, for which we coined the term The Startup Toolkit. The toolkit explains the six most important elements a startup should take into account to achieve the problem-solution fit and product-market fit.
Read more

The Best Bang for Your Buck Hardware for Deep Learning

Though graphical processors were originally meant for gamers, any computer science nerd knows that they are extremely valuable in other domains as well. Now that crypto-miners are starting to move to ASICs, prices and stock for GPU’s are stabilising again. The deep learning community can take a breath, relax, buy a new batch GPUs and run some training sessions. NVIDIA knows that gamers are not the sole target demographic for their products anymore.
Read more

Achieving Problem-Solution Fit for Startups

Software startups around the world are struggling to survive. Usually, within two years from the startups’ creation, it is not competition but rather self-destruction that drives the majority of startups into failure. My previous post presented a go-to-market approach based on The Lean Startup, Design Thinking, The Lean Product Playbook, and The Startup Owner’s Manual, to provide structured guidance to startups. These strategies are all user-driven innovation strategies: they involve potential users, customers, or other stakeholders into the development process, thus maintaining a user-centred approach.
Read more